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The iGaming industry is booming in the 21st century. There are hundreds of thousands of iGaming sites that want to provide players with more engaging experiences. However, not all platforms do well, and they usually experience increased churn rates. So, this can significantly affect an iGaming site’s profits. If you are an iGaming site owner and facing this issue, you can use big data analytics to predict churn rates.
What is Churn, and Why Does It Matter in iGaming?
Churn means that players have stopped using an iGaming platform. Getting new players is very important for iGaming sites, but at the same time, retaining the existing players is even more important. It allows you to stay profitable. Right?
But if you experience a higher churn rate over a period, you have issues in your casino or sports betting operations. In simple words, users have poor experience on your website. Your content is not engaging, or you are not providing them with good bonuses.
Reputable platforms, such as an MGA casino, use big data analytics to mitigate such problems. It helps a casino to identify players that would leave soon. So, this gives the operator an opportunity to intervene and avoid churns.
How Big Data Helps Predict Churn
Big data analytics convert raw data into meaningful and valuable insights. It can help you collect data on player behavior, their financial activity, and much more. For example, player behavioral data can help you answer questions like:
- How often do players log in?
- What casino games do they play?
- How long do their gaming sessions last?
Similarly, financial activities tell you about players’ deposits, withdrawals, and whether they use bonuses. You can also leverage engagement and demographics metrics. Engagement metrics usually include data about players interacting with promotions, customer support, or loyalty programs. Demographics include age, location, the type of device players use, and much more. All these metrics/data can help you predict churn.
Important Metrics for Predicting Churn
These include activity gaps, decreased bet sizes, unused bonuses, and frequent support contacts. For example, if a player has not logged in for 7 to 14 days, it means they will leave your website or deactivate their account.
Likewise, a significant drop in how much a casino player bets means they have lost interest. Players who do not use bonuses are not engaging with the platform. Remember, players who contact the support team more often means they are experiencing frequent problems. So, what can you do?
Implement Machine Learning Models
Basically, the most important and integral part of big data analytics is machine learning algorithms. Discuss things like logistic regression, random forests, and gradient boosting machines with your development team. These are algorithms that can streamline data analysis and produce accurate results.
For instance, logistic regression is an algorithm that identifies associations between a casino player’s behavior and probability of churn. On the other hand, if you need to analyze complex data patterns, then use random forests, a sophisticated model that uses multiple decision trees.
Use Churn Predictions
There are different ways to use churn predictions. Casino operators, including you, must focus on personalized offers. For example, if the data shows high-risk players, just make sure you send them tailored incentives like no deposit bonuses, free spins, etc. On the other hand, you can change or adjust the bonus structure or lower the wagering requirements to keep players engaged.
Only high rollers and VIP players have dedicated managers, you can go one step ahead and assign a dedicated manager to high-risk players to address their issues before they leave. Don’t forget gamification elements. Add leaderboards, rewards, achievements, and related elements to re-engage casino players.
Final Words
High churn rates are a disaster for casino operators. Therefore, use advanced technologies, including big data analytics, to predict churn rates early and take actions on time. That way, you can optimize casino operations and retain existing players.
